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Record W2900868244 · doi:10.5430/ijfr.v10n1p1

Accounting Conservatism and Performance of Nigerian Consumer Goods Firms’: An Examination of the Role of Accruals

2018· article· en· W2900868244 on OpenAlexvenueno aff
David Okelue Ugwunta, Boniface Uche Ugwuanyi

Bibliographic record

VenueInternational Journal of Financial Research · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAccrualConservatismAccountingPanel dataQuality (philosophy)EconomicsBusinessEconometricsEarnings

Abstract

fetched live from OpenAlex

In this study the evidence over the existence and magnitude of the assumed negative relation between accounting conservatism and firm performance in Nigeria was examined. Data from the annual financial statements of firms under the Consumer Goods sectoral classification on the Nigerian Stock exchange was used. The hypotheses were tested using the panel least squares while assuming the fixed effects. Opposed to the assumed negative relation, findings from the study suggest that accounting conservatism has a positive but non-significant effect on firm performance. This implies that firms in the Nigerian Consumer Goods sector do not practice accounting conservatism and hence produce low financial reporting quality. This is given the absence of accruals quality achieved when the reported information reported is credible and free of error and bias, intentional or otherwise. The study recommends that firms in Nigeria should be penalised if reported information are found to incomplete and opaque not free of error and bias.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.302
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2018
Admission routes1
Has abstractyes

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